I am a senior engineer at Berkeley Applied Analytics, which provides scientific and engineering services, largely to the government. I am working on large-scale pedestrian and vehicle sensor networks, along with the back-end scientific data analysis infrastructure.

Previously, I was a research scientist in the Applied Nuclear Physics program at Lawrence Berkeley National Laboratory, where I worked developing highly multimodal aerial and ground sensor platforms which fuse data from a wide range of sensors, including radiation detectors/imagers, visible/IR/hyperspectral cameras, lidar, GPS, and IMUs. In addition, I worked on scientific data curation systems to handle the torrent of data from such platforms.

My research is primarily in the field of robotic perception, the ability for a robot to sense and understand its environment. I am interested in working on perception, SLAM, and other state estimation problems, particularly as they relate to mobile/field robotics.

I want to help build robots that extend the horizons of the human race and keep us from harm. Robots have the great advantage in that they can be built to withstand environments that humans cannot. We should leverage this to explore the far reaches of space and the depths of our oceans as well as developing robots that can reduce the need to risk the lives of our bravest in tasks such as fighting fires and performing search and rescue operations.